diff --git a/pre_precess.ipynb b/pre_precess.ipynb index f15f4cc..a3b6e58 100644 --- a/pre_precess.ipynb +++ b/pre_precess.ipynb @@ -2,9 +2,59 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "from IPython.display import display\n", "import matplotlib.pyplot as plt\n", @@ -96,9 +146,61 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# left 不为-1的拼接,特殊符号去空格,单词之间空格连接\n", "# 直线检测\n", @@ -125,8 +227,8 @@ " \n", " for line in lines:\n", " x1, y1, x2, y2 = line[0] \n", - " # 只处理水平线\n", - " if (y2 - y1) > (x2 - x1):\n", + " # 只处理水平线,避免识别错误线段必须大于长度的三分一以上\n", + " if (y2 - y1) > (x2 - x1) or (x2 - x1) < w/3:\n", " continue\n", " \n", " # 画线条\n",